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Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-04-28 · Source: legacy_model_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...
gpt-5-pro is a Multimodal model from OpenAI (US). HotON.ai tracks it at $15.00 per 1M input tokens and $120.00 per 1M output tokens, with a 400K-token context window. Its composite efficiency score is 77/100 at an estimated $0.090 per successful task.
gpt-5-pro is tracked at $15.00 per 1M input tokens and $120.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $93.75 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
gpt-5-pro supports up to a 400K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gpt-5-pro is cheaper than 2% of models on input price and ranks #517 of 535 by overall efficiency.
Yes — gemini-3.1-flash-lite-preview is a lower-cost option at $1.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — gpt-5-pro (OpenAI): $15.00/1M input, $120.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/openai-gpt-5-proPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.